Multi-target orientation estimation method and underwater acoustic vertical vector array system

Abstract

The invention relates to a multi-target orientation estimation method and an underwater acoustic vertical vector array system, wherein the method includes: receiving multi-target signals based on a vertical vector hydrophone array; converting the received multi-target signals to obtain a frequency spectrum and a power spectrum, And extract the line spectrum; Utilize the vector regular correlation algorithm to estimate the number of target sound sources; According to the extracted line spectrum, use the vector weighted space smoothing algorithm to obtain the MUSIC space spectrum; Based on the estimated result of the number of target sound sources and The MUSIC spatial spectrum performs a two-dimensional search and judgment on the spatial spectrum peaks corresponding to multiple targets, and obtains the horizontal angle and pitch angle of multiple targets respectively; Step 6: integrate the horizontal angle and pitch angle calculated by each line spectrum, Obtain the multi-target orientation estimation results. The invention realizes omnidirectional estimation of the horizontal angle and elevation angle of target signals through the three-dimensional vertical vector hydrophone array, and improves the accuracy of direction estimation of coherent multi-target signals.

Description

technical field [0001] The invention belongs to the technical field of marine engineering, and in particular relates to a multi-target orientation estimation method and an underwater acoustic vertical vector array system. Background technique [0002] A vector hydrophone can simultaneously measure the sound pressure scalar in the sound field and the particle velocity vector in three orthogonal directions. The acquisition of vector information has deepened people's comprehensive understanding of the characteristics of the sound field. Compared with the traditional sound pressure hydrophone array, the vector hydrophone array has more processing means and can obtain greater processing gain. The existing underwater acoustic target azimuth estimation methods usually use two-dimensional vector hydrophone arrays, and the adopted algorithm only achieves a relatively ideal effect on the horizontal angle, and cannot guarantee the accuracy of multi-target azimuth estimation. Content...

AI Technical Summary

Problems solved by technology

The existing underwater acoustic target azimuth estimation methods usually use two-dimensional vector hydrophone arrays, and the adopted algorithm only achieves a relatively ideal effect on the horizontal angle, and cannot guarantee the accuracy of azimuth estimation for multi-target signals

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